Vlad Gainullin is a Director of Bioinformatics with nine years of experience building ML-driven clinical genomics solutions, currently leading multidisciplinary teams at Exact Sciences to develop early-stage cancer diagnostic algorithms and SAMD-compliant software. He combines a PhD in Biochemistry/Genetics with an MS in Computer Science to bridge rigorous wet-lab genetics knowledge and production-grade ML/ML-Ops on Azure and Databricks. His work spans cfDNA and proteomics predictive models, confounding mitigation methods that improve generalizability across diverse patient cohorts, and reproducible data-science practices for regulated environments. Previously he advanced clinical WGS workflows and NLP for phenotype extraction at Illumina and GeneDx, and has a track record of automating model testing and deployment to ensure reliability in clinical settings. Not obvious from the title: he has hands-on experience with CRISPR model development and high-throughput variant classification from his postdoctoral work, informing his pragmatic approach to translational genomics.
9 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Biochemistry, Genetics of Disease, Cancer, Doctor of Philosophy - PhD, Biochemistry, Genetics of Disease, Cancer at Mayo Clinic Graduate School of Biomedical Sciences
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Georgia Institute of Technology
Bachelor of Science (BS), Medical Technology, Chemistry, Bachelor of Science (BS), Medical Technology, Chemistry at University of Wisconsin-Stevens Point
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